About The Role

for the Digital Transformation Office.

Understand and document business needs.
Design and develop architectures for agentic AI systems using modern LLM frameworks, MLs, APIs GENAI, and other automation tools to address business needs.
Engineer relevant features to improve AI solution accuracy and performance – development.
Use multi-agent collaboration frameworks for complex business workflows.
Integrate AI agents to enterprise systems, APIs, and external apps using AI orchestration tools.
Deploy solutions to production environments allowing for real-time or batch inference on new data.
Communication of the solutions to stakeholders (customers).
Owner of technical discussions on architecture, scalability, and performance optimization with IT stakeholders.
Ensure proper documentation and DevOps.
Research, learn and recommend new technologies relevant to your field.

Proven experience – min 2 years- with track record -min 2 projects- in designing and developing GENAI solutions in corporate environments and at least another 3 years in development projects
Knowledge of AI stack (multimodal) – Google Cloud Platform tools is a plus – Certifications are a plus
Python expertise
Experience in integrating Generative AI models into enterprise applications, chatbots, virtual assistants, and low code platforms
Proven abilities to take initiative and be innovative
Analytical mind with a problem-solving aptitude
Ability to lead – proven experience is a plus

Creativity
Problem-solving and critical-thinking skills
Excellent written and verbal communication skills
Ability to multi-task and manage various projects
Self-motivated, able to work independently and as part of a team, and able to take initiative

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